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Large Deviations Techniques and Applications (Stochastic Modelling and Applied Probability)

Large Deviations Techniques and Applications (Stochastic Modelling and Applied Probability)
By Amir Dembo, Ofer Zeitouni

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Product Description

This book presents an introduction to the theory of large deviations. Large deviation estimates have proved to be the crucial tool required to handle many questions in statistics, engineering, statistial mechanics, and applied probability. The mathematics is rigorous and the applications come from a wide range of areas, including electrical engineering and DNA sequences. The second edition includes new material on concentration inequalities and the metric and weak convergence approaches to large deviations. General statements and applications have been sharpened, new exercises added, and the bibliography updated.


Product Details

  • Amazon Sales Rank: #798415 in Books
  • Published on: 1998-03-27
  • Original language: English
  • Number of items: 1
  • Binding: Hardcover
  • 420 pages

Editorial Reviews

About the Author
Amir Dembo is Associate Professor of Mathematics and Statistics at Stanford University, and Professor of Electrical Engineering at the Technion-Israel Institute of Technology. He currently serves on the editorial board of the Annals of Probability. Ofer Zeitouni is Professor of Electrical Engineering at the Technion- Israel Institute of Technology. He has served on the editorial board of the IEEE Transactions on Information Theory and currently serves on the editorial board of Stochastic Processes and Applications.


Customer Reviews

Dembo and Zeitouni on Large Deviations5
This is the definitive book in the new mushrooming mathematical field of large deviations, which everybody should know including mathematicians, physical scientists, social and behavioral scientists, life scientists, etc. Large deviations refers to rare and extreme events, which are studied by examining the extreme ends or "tails" of graphs (which is where graphs usually get narrower and narrower). My own research is also largely in the field of rare events, but I study them more directly by using logic-based probability, defined as the probability of the set/event analogue of the logical conditional A-->B = A' U B (see abstracts of about 35 of my papers at the Institute for Logic of the University of Vienna, available on the internet). Dembo and Zeitouni study rare events by more standard methods, but the results make fascinating reading and give ideas for all kinds of research. This type of research differs from the usual preoccupation of scientists with common events, frequent events, average events, and so. It has become obvious that the rare events, such as great genius, great discoveries and creativity, accidental events, catastrophes, and so on, play an extremely important role in the world. Dembo and Zeitouni are examples of the best in Israeli research, although they have never responded to my inquiries (perhaps they are too busy being great geniuses).